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首页> 外文期刊>Journal of Hepatology: The Journal of the European Association for the Study of the Liver >Identification of prognostic biomarkers in hepatitis B virus-related hepatocellular carcinoma and stratification by integrative multi-omics analysis
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Identification of prognostic biomarkers in hepatitis B virus-related hepatocellular carcinoma and stratification by integrative multi-omics analysis

机译:集成多组学分析鉴定乙型肝炎病毒相关肝细胞癌的预后生物标志物和分层

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Background & Aims: The differentiation of distinct multifocal hepatocellular carcinoma (HCC): multicentric disease vs. intrahe-patic metastases, in which the management and prognosis varies substantively, remains problematic. We aim to stratify multifocalHCC and identify novel diagnostic and prognostic biomarkers by performing whole genome and transcriptome sequencing, as part of a multi-omics strategy.Methods: A complete collection of tumour and somatic specimens (intrahepatic HCC lesions, matched non-cancerous liver tissue and blood) were obtained from representative patients with multifocal HCC exhibiting two distinct postsurgical courses. Whole-genome and transcriptome sequencing with genotyping were performed for each tissue specimen to contrast genomic alterations, including hepatitis B virus integrations, somatic mutations, copy number variations, and structural variations. We then constructed a phylogenetic tree to visualise individual tumour evolution and performed functional enrichment analyses on select differentially expressed genes to elucidate biological processes involved in multifocal HCC development. Multi-omics data were integrated with detailed clinicopathological information to identify HCC biomarkers, which were further validated using a large cohort of HCC patients (n=174).Results: The multi-omics profiling and tumour biomarkers could successfully distinguish the two multifocal HCC types, while accurately predicting clonality and aggressiveness. The dual-specificity protein kinase TTK, which is a key mitotic checkpoint regulator with links to p53 signaling, was further shown to be a promising overall prognostic marker for HCC in the large patient cohort.Conclusions: Comprehensive multi-omics characterisation of multifocal tumour evolution may improve clinical decision-making, facilitate personalised medicine, and expedite identification of novel biomarkers and therapeutic targets in HCC.
机译:背景与目的:不同的多灶性肝细胞癌(HCC)的分化:多中心疾病与肝内转移之间的管理和预后存在实质性差异,仍然存在问题。作为多组学策略的一部分,我们旨在通过执行全基因组和转录组测序来对多灶性肝癌进行分层并鉴定新的诊断和预后生物标志物。方法:完整收集肿瘤和体标本(肝内肝癌病变,匹配的非癌性肝组织)和血液)从具有两个不同的术后过程的多灶性肝癌的代表性患者中获得。对每个组织标本进行全基因组和转录组测序及基因分型,以对比基因组变化,包括乙型肝炎病毒整合,体细胞突变,拷贝数变异和结构变异。然后,我们构建了一个系统树,以可视化单个肿瘤的演变,并对选定的差异表达基因进行了功能富集分析,以阐明参与多灶性肝癌发展的生物学过程。将多组学数据与详细的临床病理学信息相结合,以鉴定HCC生物标志物,并通过一大批HCC患者(n = 174)进一步进行了验证。结果:多组学分析和肿瘤生物标志物可以成功地区分两种多灶性HCC类型,同时准确预测克隆性和攻击性。双特异性蛋白激酶TTK是与p53信号相关的关键有丝分裂检查点调节剂,被进一步证明是大患者队列中有希望的HCC总体预后标志物。结论:多灶性多灶性肿瘤进化的综合多组学表征可能会改善临床决策,促进个性化药物治疗并加快HCC中新型生物标志物和治疗靶标的识别。

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